DEF_PARAM_TEST(Sz_Depth_Cn_KernelSz, cv::Size, MatDepth, MatCn, int);
-PERF_TEST_P(Sz_Depth_Cn_KernelSz, Denoising_BilateralFilter,
+PERF_TEST_P(Sz_Depth_Cn_KernelSz, Denoising_BilateralFilter,
Combine(GPU_DENOISING_IMAGE_SIZES, Values(CV_8U, CV_32F), GPU_CHANNELS_1_3, Values(3, 5, 9)))
{
declare.time(60.0);
cv::Mat src(size, type);
fillRandom(src);
- if (runOnGpu)
+ if (PERF_RUN_GPU())
{
cv::gpu::GpuMat d_src(src);
cv::gpu::GpuMat d_dst;
{
cv::gpu::bilateralFilter(d_src, d_dst, kernel_size, sigma_color, sigma_spatial, borderMode);
}
+
+ GPU_SANITY_CHECK(d_dst);
}
else
{
{
cv::bilateralFilter(src, dst, kernel_size, sigma_color, sigma_spatial, borderMode);
}
+
+ CPU_SANITY_CHECK(dst);
}
}
DEF_PARAM_TEST(Sz_Depth_Cn_WinSz_BlockSz, cv::Size, MatDepth, MatCn, int, int);
-PERF_TEST_P(Sz_Depth_Cn_WinSz_BlockSz, Denoising_NonLocalMeans,
+PERF_TEST_P(Sz_Depth_Cn_WinSz_BlockSz, Denoising_NonLocalMeans,
Combine(GPU_DENOISING_IMAGE_SIZES, Values<MatDepth>(CV_8U), GPU_CHANNELS_1_3, Values(21), Values(5, 7)))
{
declare.time(60.0);
cv::Size size = GET_PARAM(0);
- int depth = GET_PARAM(1);
- int channels = GET_PARAM(2);
-
+ int depth = GET_PARAM(1);
+ int channels = GET_PARAM(2);
+
int search_widow_size = GET_PARAM(3);
int block_size = GET_PARAM(4);
float h = 10;
int borderMode = cv::BORDER_REFLECT101;
-
+
int type = CV_MAKE_TYPE(depth, channels);
cv::Mat src(size, type);
fillRandom(src);
- if (runOnGpu)
+ if (PERF_RUN_GPU())
{
cv::gpu::GpuMat d_src(src);
cv::gpu::GpuMat d_dst;
{
cv::gpu::nonLocalMeans(d_src, d_dst, h, search_widow_size, block_size, borderMode);
}
+
+ GPU_SANITY_CHECK(d_dst);
}
else
{
- FAIL();
+ FAIL() << "No such CPU implementation analogy";
}
}
DEF_PARAM_TEST(Sz_Depth_Cn_WinSz_BlockSz, cv::Size, MatDepth, MatCn, int, int);
-PERF_TEST_P(Sz_Depth_Cn_WinSz_BlockSz, Denoising_FastNonLocalMeans,
+PERF_TEST_P(Sz_Depth_Cn_WinSz_BlockSz, Denoising_FastNonLocalMeans,
Combine(GPU_DENOISING_IMAGE_SIZES, Values<MatDepth>(CV_8U), GPU_CHANNELS_1_3, Values(21), Values(7)))
{
declare.time(150.0);
-
+
cv::Size size = GET_PARAM(0);
- int depth = GET_PARAM(1);
-
+ int depth = GET_PARAM(1);
+
int search_widow_size = GET_PARAM(2);
int block_size = GET_PARAM(3);
-
- float h = 10;
- int type = CV_MAKE_TYPE(depth, 1);
+
+ float h = 10;
+ int type = CV_MAKE_TYPE(depth, 1);
cv::Mat src(size, type);
fillRandom(src);
- if (runOnGpu)
+ if (PERF_RUN_GPU())
{
cv::gpu::GpuMat d_src(src);
cv::gpu::GpuMat d_dst;
cv::gpu::FastNonLocalMeansDenoising fnlmd;
- fnlmd.simpleMethod(d_src, d_dst, h, search_widow_size, block_size);
+ fnlmd.simpleMethod(d_src, d_dst, h, search_widow_size, block_size);
TEST_CYCLE()
{
- fnlmd.simpleMethod(d_src, d_dst, h, search_widow_size, block_size);
+ fnlmd.simpleMethod(d_src, d_dst, h, search_widow_size, block_size);
}
+
+ GPU_SANITY_CHECK(d_dst);
}
else
{
{
cv::fastNlMeansDenoising(src, dst, h, block_size, search_widow_size);
}
+
+ CPU_SANITY_CHECK(dst);
}
}
DEF_PARAM_TEST(Sz_Depth_WinSz_BlockSz, cv::Size, MatDepth, int, int);
-PERF_TEST_P(Sz_Depth_WinSz_BlockSz, Denoising_FastNonLocalMeansColored,
+PERF_TEST_P(Sz_Depth_WinSz_BlockSz, Denoising_FastNonLocalMeansColored,
Combine(GPU_DENOISING_IMAGE_SIZES, Values<MatDepth>(CV_8U), Values(21), Values(7)))
{
declare.time(350.0);
-
+
cv::Size size = GET_PARAM(0);
int depth = GET_PARAM(1);
-
+
int search_widow_size = GET_PARAM(2);
int block_size = GET_PARAM(3);
- float h = 10;
+ float h = 10;
int type = CV_MAKE_TYPE(depth, 3);
cv::Mat src(size, type);
fillRandom(src);
- if (runOnGpu)
+ if (PERF_RUN_GPU())
{
cv::gpu::GpuMat d_src(src);
cv::gpu::GpuMat d_dst;
cv::gpu::FastNonLocalMeansDenoising fnlmd;
- fnlmd.labMethod(d_src, d_dst, h, h, search_widow_size, block_size);
+ fnlmd.labMethod(d_src, d_dst, h, h, search_widow_size, block_size);
TEST_CYCLE()
{
- fnlmd.labMethod(d_src, d_dst, h, h, search_widow_size, block_size);
+ fnlmd.labMethod(d_src, d_dst, h, h, search_widow_size, block_size);
}
+
+ GPU_SANITY_CHECK(d_dst);
}
else
{
{
cv::fastNlMeansDenoisingColored(src, dst, h, h, block_size, search_widow_size);
}
+
+ CPU_SANITY_CHECK(dst);
}
}
\ No newline at end of file